Latest Research in Network Security and Intrusion Detection

Top Research Topics in Network Security and Intrusion Detection

• Network Security and Intrusion Detection — 4 papers
• Cryptography and Security — 3 papers
• Lipoproteins and Cardiovascular Health — 3 papers
• Appendicitis Diagnosis and Management — 3 papers
• Wireless Body Area Networks — 2 papers
• Adversarial Robustness in Machine Learning — 1 papers
• Cholesterol and Lipid Metabolism — 1 papers
• Smart Grid Security and Resilience — 1 papers
• Privacy-Preserving Technologies in Data — 1 papers

Highest-Cited Papers

1. Leakage-aware and imbalance-robust gradient boosting for intrusion detection in cyber-physical healthcare systems under adversarial AI threats
2. Genetic identification of sitosterolemia and ABCG5/ABCG8 variants among Taiwanese patients with familial hypercholesterolemia
3. IoTHS-based framework for developing a healthcare security system
4. Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments
5. A New Deep Convolutional Neural Network Model for Multi-Class Cyber Attack Detection in Internet of Medical Things Networks
6. Paediatric familial hypercholesterolaemia in Australia: a real-world registry study
7. Diagnostic Performance of Serum Leucine-Rich Alpha-2-Glycoprotein 1 and Plasma Calprotectin in Adults with Suspected Acute Appendicitis: A Cross-Sectional Observational Study
8. Hierarchical versus flat machine learning model for intrusion detection in secure IoT healthcare environment
9. Lipid-lowering drugs in heterozygous familial hypercholesterolaemia: a 15-year clinical history
10. An intelligent cyber-attack detection framework for healthcare cyber-physical systems using optimized graph-based deep learning
11. LDL hypercholesterolemia in children: genetic influence and response to lifestyle advice - follow-up of the Fr1dolin-trial
12. Federated learning explainable deep learning framework for enhanced internet of medical things security
13. LAG-TabNet: A lightweight attention-gated tabular network for leak-free, interpretable cyberattack detection in internet of health things (IOHT)
14. Optimized Deep Boltzmann machine for intrusion detection in wireless body area networks
15. ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks
16. Hidden heterogeneity in complicated appendicitis: comparison of preoperative biomarker profiles across the histopathological spectrum of acute appendicitis
17. Combined Metabolic–Inflammatory Biomarkers for Predicting Complicated Acute Appendicitis: A Comparative Analysis
18. IoMT-SecAlarmBench: A Counterfactual Benchmark for Integrity Attacks in IoMT
19. A lightweight interpretable feature selection-based ensemble learning approach for internet of medical things attack detection